Role of adaptive heuristic criticism in cascade temperature control of an industrial tubular furnace

Zeybek Z.

APPLIED THERMAL ENGINEERING, cilt.26, sa.2-3, ss.152-160, 2006 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 2-3
  • Basım Tarihi: 2006
  • Doi Numarası: 10.1016/j.applthermaleng.2005.05.017
  • Dergi Adı: APPLIED THERMAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.152-160
  • Anahtar Kelimeler: industrial refinery furnaces, neural adaptive heuristic criticism, neural network, cascade control
  • Ankara Üniversitesi Adresli: Evet

Özet

The purpose of this research is to improve and apply the multivariable control structure of an industrial furnace on the basis of the adaptive heuristic criticism (AHC). This algorithm is a three-layer feed-forward artificial neural network (ANN) that uses supervised learning with reinforcement in a unique topology. It shows how a system consisting of two neurone-like adaptive elements can solve a difficult learning control problem, i.e. the learning system consists of a single associative search element (ASE) and a single adaptive critic element (ACE). The task is to balance a pole that hinges on the manipulated variable by applying disturbance forces to the furnace. This approach to solve control problems of furnaces using AHC is discussed and compared with the results from the fuzzy temperature control of the system in this work. (c) 2005 Elsevier Ltd. All rights reserved.